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Release OpenCook Recipe Library on Hugging Face

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Évaluation

Difficulté
4/5
Temps estimé
3-5 jours
Accessibilité débutants
45/100
Type d'issue
Fonctionnalité
Clarté
Plutôt claire
Activité
Calme
Stack technique
huggingface, python
Domaine
data

Piste de recherche

Start with the Hugging Face Datasets loading guide and the repository's existing OpenCook Recipe Library. Determine how the dataset should be uploaded and made discoverable on Hugging Face, then verify that it can be loaded with the documented Python interface and linked to the paper page.

Rédigé par le modèle d'indexation à partir du texte de l'issue.

Description

Hi @weizhoudb 🤗

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2604.06231.
The paper page lets people discuss about your paper and lets them find artifacts about it (your dataset for instance),
you can also claim the paper as yours which will show up on your public profile at HF, add Github and project page URLs.

Would you like to host the "OpenCook Recipe Library" you've released on https://huggingface.co/datasets?
I see you're hosting it as part of your GitHub repository. Hosting on Hugging Face will give you more visibility/enable better discoverability, and will also allow people to do:

from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/your-dataset")

If you're down, leaving a guide here: https://huggingface.co/docs/datasets/loading.
We also support Webdataset, useful for image/video datasets: https://huggingface.co/docs/datasets/en/loading#webdataset.

Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser.

After uploaded, we can also link the datasets to the paper page (read here) so people can discover your work.

Let me know if you're interested/need any guidance.

Kind regards,

Niels

Langage dominant
Python
Étoiles
29
Forks
3
Aucune PR mergée en 30 j

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  4. Ouvrez une pull request qui référence le numéro de l'issue.

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